Cicolini

Cicolini — CS2 Stats

US76561198119690465[U:1:159424737]Steam profile ↗✓ No bans

3,934Tracked matches68%Win rate2020Tracked since
8,708Hours in CS42Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating29,763Top 1% of 213,399 CSDB-tracked playersRed band · top ~0.7% of ranked players (population est.)
CSDB Leaderboard#873 of 260013 tracked
FaceitLevel 10 · 2,328 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 29,763 +4,172 12 Oct – 4 Nov · 12 days played
25,59129,999peak 29,99912 Oct4 Nov
Faceit ELO: 2,328 +0 27 Aug – 3 Nov · 2 observations
2,3282,328peak 2,32827 Aug3 Nov
29,999Peak Premier in tracked matches
2,328Highest Faceit ELO seen on CSDB
24Days played since 2026-08-27

Faceit ELO

  • At peak — 2,328
  • Next: 2,500 ELO at 2,500 — 172 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-11-03
  • Level 9 first seen 2026-11-03

Premier CS Rating

  • 236 below peak (29,999)
  • +4,172 over 30 days · improving
  • Next: Gold band at 30,000 — 237 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-11-03
  • Pink band first seen 2026-11-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate68.7%50.9%
Shot accuracy10.1%13.7%
Kill/death ratio1.951.09
Match win rate51.4%48.4%

Share this profile

CSDB.GGCicoliniFACEITLevel 10 · 2,328 ELOSTANDINGTop 12.4% of rankedPREMIER29,763 · Red bandPEAK ELO2,328csdb.gg/stats

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Performance scores

Aim79
Positioning45
Utility34

0–100 skill scores via Leetify.

Recent form

HOT62–31–7Last 10062%Win rateWWWWLWLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · +44ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 31%
  • Avg reaction 516ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 561ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 539ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim7.9
Utility3.4
Positioning4.5
Opening Duels2.5
Clutch3.8

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 97% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 52% on T to 37% on CT — first contacts on the defending side are being lost.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.9
Positioning4.5
Utility3.4
Mechanics5.6
Opening Duels3.6
Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time533ms−11ms
first ⅓ avg 544ms → last ⅓ avg 533ms
Headshot accuracy26.4%+2.5%
first ⅓ avg 23.9% → last ⅓ avg 26.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 13–2 · anubis, 20 Oct →
44%Best headshot accuracy · 13–7 · office, 5 Nov →
406msFastest reaction time · 13–5 · inferno, 19 Oct →
13–1Biggest win · mirage, 22 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
10–2In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 77% over 13dust2Weakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
anubisS1712–571%0.00
dust2C156–940%-0.00
cacheS1310–377%-0.00
ancientS128–467%0.02
mirageA106–460%-0.01
officeS86–275%-0.02
nukeB84–450%-0.01
trainS75–271%-0.01
inferno—41–325%-0.00
vertigo—32–167%-0.02
fachwerk—10–10%-0.09
overpass—11–0100%0.02
boulder—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

316,971Lifetime kills
1.95K/D · Top 5% of Level 10 players
10,392Matches
51.4%Match win rate · Top 25% of Level 10 players
68.7%Headshot % · Top 5% of Level 10 players
10.1%Shot accuracy
20,414MVPs
3,445Hours (in match)
3,554Bombs planted
1,132Bombs defused

Most-used weapons

AK-47182,458
AWP14,508
MP94,974
XM10144,868
SSG 084,661
P904,011

Lifetime map wins

11,976dust2
7,372nuke
6,667inferno
3,997vertigo
3,419office
2,256assault
2,087train
1,209militia

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,075Matches
53%Win rate
1.03Avg K/D
81.2ADR
50%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage26550%1.0316.5
Ancient20258%1.0316.3
Anubis9952%1.0015.9
Inferno9456%0.9114.6
Dust28148%0.9615.6
Vertigo3639%1.0117.0
Nuke2055%1.1617.1
Overpass1669%1.2317.1

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.3%Headshot accuracy
33.1%Accuracy (enemy spotted)
37.7%Spray accuracy
75.3%Counter-strafing
9.4°Preaim
535msReaction time
51.8%T opening success
36.7%CT opening success
0.44Enemies flashed / flash
4.3%Flash assists
8.53HE damage / grenade
4.49Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4429 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.7158% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–6-0.0319%5 Nov →
office13–70.0144%5 Nov →
office13–8-0.0442%5 Nov →
office13–8-0.0422%4 Nov →
fachwerk8–13-0.0928%4 Nov →
anubis13–2-0.0124%4 Nov →
dust29–13-0.0826%4 Nov →
inferno5–13-0.0419%4 Nov →
ancient13–50.1326%3 Nov →
mirage13–50.0230%3 Nov →
cache10–130.0030%3 Nov →
anubis13–40.0331%3 Nov →
mirage13–8-0.0224%3 Nov →
cache13–90.0230%2 Nov →
office13–8-0.0329%2 Nov →
office13–4-0.0230%2 Nov →
anubis13–10-0.0333%30 Oct →
dust26–13-0.0721%30 Oct →
ancient13–80.0422%30 Oct →
ancient12–12-0.0418%29 Oct →
anubis13–10-0.0319%29 Oct →
cache8–130.0127%29 Oct →
mirage12–12-0.0721%29 Oct →
vertigo5–13-0.0924%28 Oct →
cache13–70.0015%28 Oct →
ancient13–5-0.0029%28 Oct →
anubis11–130.0025%28 Oct →
nuke3–13-0.0821%27 Oct →
anubis13–80.0129%27 Oct →
dust213–100.0430%27 Oct →
inferno6–13-0.0124%26 Oct →
ancient10–130.0432%26 Oct →
nuke4–13-0.0225%26 Oct →
nuke13–100.0236%26 Oct →
anubis13–50.0327%25 Oct →
dust26–13-0.039%25 Oct →
anubis7–13-0.0227%25 Oct →
train13–60.0122%25 Oct →
cache13–11-0.0327%25 Oct →
cache13–7-0.0221%25 Oct →
dust213–40.099%24 Oct →
ancient13–50.0323%23 Oct →
ancient13–11-0.0617%23 Oct →
dust210–13-0.0120%23 Oct →
mirage5–13-0.0517%23 Oct →
anubis9–13-0.0517%22 Oct →
mirage13–1-0.0113%22 Oct →
mirage13–6-0.0132%22 Oct →
inferno12–12-0.0221%22 Oct →
train13–7-0.0518%22 Oct →
anubis9–13-0.0326%22 Oct →
vertigo13–100.0026%21 Oct →
anubis13–2-0.0013%21 Oct →
train12–120.0718%21 Oct →
ancient13–80.0528%21 Oct →
anubis16–14-0.0420%20 Oct →
ancient13–10-0.0231%20 Oct →
overpass13–90.0226%20 Oct →
nuke10–13-0.0427%20 Oct →
anubis13–20.1422%20 Oct →
train13–5-0.066%19 Oct →
cache13–11-0.0324%19 Oct →
mirage13–20.0815%19 Oct →
inferno13–50.0642%19 Oct →
ancient9–13-0.0224%19 Oct →
cache9–13-0.0227%18 Oct →
dust212–12-0.0519%18 Oct →
office12–120.0233%18 Oct →
dust27–13-0.0520%18 Oct →
dust213–40.0125%18 Oct →
dust213–8-0.047%18 Oct →
dust213–110.0335%18 Oct →
dust213–40.0825%18 Oct →
dust28–13-0.0618%17 Oct →
nuke13–7-0.0424%17 Oct →
cache13–10-0.0413%17 Oct →
boulder13–2-0.0118%17 Oct →
train13–11-0.0429%16 Oct →
mirage5–13-0.0318%16 Oct →
cache13–100.0637%16 Oct →
anubis8–10.1225%15 Oct →
mirage13–110.0018%15 Oct →
cache13–11-0.0121%15 Oct →
cache13–6-0.0032%15 Oct →
ancient13–70.0721%14 Oct →
nuke12–120.0225%14 Oct →
cache13–110.0424%14 Oct →
office5–13-0.0731%13 Oct →
vertigo13–110.0419%13 Oct →
anubis13–60.0032%13 Oct →
train13–9-0.0225%13 Oct →
mirage11–13-0.0230%12 Oct →
nuke13–8-0.0124%12 Oct →
nuke13–60.0733%12 Oct →
anubis5–13-0.0415%12 Oct →
dust29–130.0533%11 Oct →
dust28–130.0517%11 Oct →
ancient5–130.0020%11 Oct →
train10–13-0.0122%11 Oct →
anubis13–5-0.0019%11 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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